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Record W37028904 · doi:10.1016/j.bpsc.2023.01.008

为了孩子的健康和微笑——记全国三八红旗手、临沂市人民医院儿科主任李志方

2010· article· zh· W37028904 on OpenAlexfundno aff
杨学岭, 刘维朝

Bibliographic record

Venue山东卫生 · 2010
Typearticle
Languagezh
FieldEngineering
TopicMilitary Technology and Strategies
Canadian institutionsnot available
FundersAlberta Children's Hospital Research Institute
KeywordsComputer science

Abstract

fetched live from OpenAlex

李志方临沂市人民医院儿科主任、主任医师、教授,中华医学会山东省神经儿科学组副组长.中国抗癫痫协会山东分会常务理事,中国医师协会山东省儿科协会常务理事,省女医师协会常务理事,临沂市医学会儿科学会主任委员。她先后被评为市级优秀共产党员、优秀医务工作者;2007年被省卫生厅授予卫生工作先进个人称号,儿科被授予山东省三八红旗集体称号:2009年儿科集体荣获市卫生局通报表彰,李志方荣获全国三八红旗手称号:2010年被评为全国医药卫生工作先进工作者.获山东医师奖。

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0040.011
Scholarly communication0.0080.009
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0100.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.198
Teacher spread0.192 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2010
Admission routes1
Has abstractyes

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